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James McCool
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9dcce38
1
Parent(s):
9bc6a1f
Update column renaming in load_overall_stats function in app.py: change 'DK_ID' and 'FD_ID' to 'player_ID' for improved clarity and consistency in data handling for WNBA league exports.
Browse files
app.py
CHANGED
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@@ -78,7 +78,7 @@ def load_overall_stats(league: str):
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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dk_raw = raw_display.sort_values(by='Median', ascending=False)
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@@ -95,7 +95,7 @@ def load_overall_stats(league: str):
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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fd_raw = raw_display.sort_values(by='Median', ascending=False)
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@@ -112,7 +112,7 @@ def load_overall_stats(league: str):
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
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@@ -129,7 +129,7 @@ def load_overall_stats(league: str):
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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-
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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fd_raw_sec = raw_display.sort_values(by='Median', ascending=False)
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "player_ID", "DK_Pos": "Position", "DK_Salary": "Salary", "DK_Own": "Own"})
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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dk_raw = raw_display.sort_values(by='Median', ascending=False)
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "player_ID", "FD_Pos": "Position", "FD_Salary": "Salary", "FD_Own": "Own"})
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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fd_raw = raw_display.sort_values(by='Median', ascending=False)
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "DK_Proj": "Median", "DK_ID": "player_ID", "DK_Pos": "Position", "DK_Salary": "Salary", "DK_Own": "Own"})
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
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'Points', 'Rebounds', 'Assists', 'PRA', 'PR', 'PA', 'RA', 'Steals', 'Blocks', 'Turnovers', 'Fantasy', 'Raw', 'Own']]
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raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"})
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elif league == 'WNBA':
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+
raw_display = raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "FD_Proj": "Median", "FD_ID": "player_ID", "FD_Pos": "Position", "FD_Salary": "Salary", "FD_Own": "Own"})
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raw_display = raw_display.loc[raw_display['Median'] > 0]
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raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
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fd_raw_sec = raw_display.sort_values(by='Median', ascending=False)
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